How to use _load_from_file method in lisa

Best Python code snippet using lisa_python

context.py

Source:context.py

...10        self.path = path11        self._data = {}12        self._defaults = {}13        self._mtime = 014        self._load_from_file()15    def _load_from_file(self):16        mtime = os.path.getmtime(self.path)17        if mtime - (self._mtime or 0) < 0.001:18            return19        data = yaml.safe_load(open(self.path))20        if not isinstance(data, dict):21            raise TypeError('the contextmap file is not dict-like')22        data.update(self._defaults)23        self._data = data24        self._mtime = mtime25    def get(self, key, default=None):26        return self._data.get(key, default)27    def pop(self, key, default=None):28        return self._data.pop(key, default)29    def get_keys(self):30        self._load_from_file()31        return list(self._data)32    def setdefault(self, key, default=None):33        try:34            return self._data[key]35        except LookupError:36            return self._defaults.setdefault(key, default)37class RealContextFile(ContextFile):38    def __init__(self, path, ttl=60):39        super(ContextFile, self).__init__(path)40        self._xtime = 041        self.ttl = ttl42    def get(self, key, default=None):43        current_time = time.time()44        # expired45        if current_time > self._xtime:46            self._load_from_file()47            self._xtime = current_time + self.ttl48        return self._data.get(key, default)49    def setdefault(self, key, default=None):50        return self._data.setdefault(key, default)51class ContextDirectory(object):52    def __init__(self, dir_path):53        if not os.path.isdir(dir_path):54            raise ValueError('requires a directory')55        self._cache = {}56        self._mtime = {}57        self.path = dir_path58    def _load_from_file(self, key):59        """60        Update _mtime and _cache if yaml.safe_load() is called.61        """62        path = join(self.path, key + '.yml')63        if not os.path.isfile(path):64            return65        mtime = os.path.getmtime(path)66        # avoid float equality test67        if mtime - self._mtime.get(key, 0) < 0.001:68            try:69                return self._cache[key]70            except LookupError:71                pass72        section = yaml.safe_load(open(path))73        self._mtime[key] = mtime74        self._cache[key] = section75        return section76    def setdefault(self, key, default=None):77        # only set default when key is not available in FS78        return self._cache.setdefault(key, self.get(key, default))79    def get(self, key, default=None):80        try:81            return self._cache[key]82        except LookupError:83            return self._load_from_file(key) or default84    def get_keys(self):85        _keys = []86        for filename in os.listdir(self.path):87            name, ext = os.path.splitext(filename)88            if ext == '.yml':89                _keys.append(name)90        return _keys91class RealContextDirectory(ContextDirectory):92    def __init__(self, dir_path, ttl=60):93        super(RealContextDirectory, self).__init__(dir_path)94        self._xtime = {}95        self.ttl = ttl96    def get(self, key, default=None):97        """98        Update _xtime if _load_from_file() is called and ttl available.99        Do NOT touch _cache and _mtime in this method;100        it is the job of _load_from_file.101        """102        current_time = time.time()103        expire_time = self._xtime.get(key, 0)104        # expired105        if current_time > expire_time:106            section = self._load_from_file(key)107            self._xtime[key] = current_time + self.ttl108            return section109        return super(RealContextDirectory, self).get(key, default)110    def setdefault(self, key, default=None):111        section = self._cache.setdefault(key, self.get(key, default))112        self._xtime.setdefault(key, float('inf'))113        return section114def context_load(path, ttl=None):115    if os.path.isdir(path):116        if ttl is None:117            return ContextDirectory(path)118        else:119            return RealContextDirectory(path, ttl)120    elif os.path.isfile(path):...

coeffs.py

Source:coeffs.py

...8    _HAVE_PYWT = True9except ImportError:10    _HAVE_PYWT = False11COEFF_CACHE = {}12def _load_from_file(basename, varnames):13    try:14        mat = COEFF_CACHE[basename]15    except KeyError:16        with resource_stream('pytorch_wavelets.dtcwt.data', basename + '.npz') as f:17            mat = dict(load(f))18        COEFF_CACHE[basename] = mat19    try:20        return tuple(mat[k] for k in varnames)21    except KeyError:22        raise ValueError(23            'Wavelet does not define ({0}) coefficients'.format(24                ', '.join(varnames)))25def biort(name):26    """ Deprecated. Use :py::func:`pytorch_wavelets.dtcwt.coeffs.level1`27    Instead28    """29    return level1(name, compact=True)30def level1(name, compact=False):31    """Load level 1 wavelet by name.32    :param name: a string specifying the wavelet family name33    :returns: a tuple of vectors giving filter coefficients34    =============  ============================================35    Name           Wavelet36    =============  ============================================37    antonini       Antonini 9,7 tap filters.38    farras         Farras 8,8 tap filters39    legall         LeGall 5,3 tap filters.40    near_sym_a     Near-Symmetric 5,7 tap filters.41    near_sym_b     Near-Symmetric 13,19 tap filters.42    near_sym_b_bp  Near-Symmetric 13,19 tap filters + BP filter43    =============  ============================================44    Return a tuple whose elements are a vector specifying the h0o, g0o, h1o and45    g1o coefficients.46    See :ref:`rot-symm-wavelets` for an explanation of the ``near_sym_b_bp``47    wavelet filters.48    :raises IOError: if name does not correspond to a set of wavelets known to49        the library.50    :raises ValueError: if name doesn't specify51        :py:func:`pytorch_wavelets.dtcwt.coeffs.qshift` wavelet.52    """53    if compact:54        if name == 'near_sym_b_bp':55            return _load_from_file(name, ('h0o', 'g0o', 'h1o', 'g1o', 'h2o', 'g2o'))56        else:57            return _load_from_file(name, ('h0o', 'g0o', 'h1o', 'g1o'))58    else:59        return _load_from_file(name, ('h0a', 'h0b', 'g0a', 'g0b', 'h1a', 'h1b',60                                      'g1a', 'g1b'))61def qshift(name):62    """Load level >=2 wavelet by name,63    :param name: a string specifying the wavelet family name64    :returns: a tuple of vectors giving filter coefficients65    ============ ============================================66    Name         Wavelet67    ============ ============================================68    qshift_06    Quarter Sample Shift Orthogonal (Q-Shift) 10,10 tap filters,69                 (only 6,6 non-zero taps).70    qshift_a     Q-shift 10,10 tap filters,71                 (with 10,10 non-zero taps, unlike qshift_06).72    qshift_b     Q-Shift 14,14 tap filters.73    qshift_c     Q-Shift 16,16 tap filters.74    qshift_d     Q-Shift 18,18 tap filters.75    qshift_b_bp  Q-Shift 18,18 tap filters + BP76    ============ ============================================77    Return a tuple whose elements are a vector specifying the h0a, h0b, g0a,78    g0b, h1a, h1b, g1a and g1b coefficients.79    See :ref:`rot-symm-wavelets` for an explanation of the ``qshift_b_bp``80    wavelet filters.81    :raises IOError: if name does not correspond to a set of wavelets known to82        the library.83    :raises ValueError: if name doesn't specify a84        :py:func:`pytorch_wavelets.dtcwt.coeffs.biort` wavelet.85    """86    if name == 'qshift_b_bp':87        return _load_from_file(name, ('h0a', 'h0b', 'g0a', 'g0b', 'h1a', 'h1b',88                                      'g1a', 'g1b', 'h2a', 'h2b', 'g2a','g2b'))89    else:90        return _load_from_file(name, ('h0a', 'h0b', 'g0a', 'g0b', 'h1a', 'h1b',91                                      'g1a', 'g1b'))92def pywt_coeffs(name):93    """ Wraps pywt Wavelet function. """94    if not _HAVE_PYWT:95        raise ImportError("Could not find PyWavelets module")96    return pywt.Wavelet(name)...

dice.py

Source:dice.py

...5from math import sqrt67class Dice(Enum):8    @staticmethod9    def _load_from_file(path: str):10        dice = []11        path = os.path.join(os.path.dirname(os.path.realpath(__file__)), path)12        with open(path, 'r') as f:13            file_lines = f.readlines()14            for line in file_lines:15                faces = line.upper().strip().split(" ")16                # Validate faces17                # 1-3 letters are allowed18                face_lengths = [len(face) for face in faces]19                if min(face_lengths) == 0:20                    raise ValueError("Cannot have empty faces")21                elif max(face_lengths) > 3:22                    raise ValueError("Cannot have faces with more than 3 letters")23                    
...

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